Generating and aggregating test result data of a distributed system of devices into a test case result for facilitating access of the test case result via a single iterator

ABSTRACT

Generating and aggregating test result data of a distributed system of devices into a test case result for facilitating access of the test case result via a single iterator is presented herein. A coordinator component of the distributed system of devices creates respective context identifiers for each unique phase of a test case of the distributed system of devices, and sends messages including the respective context identifiers to a producer component of the distributed system of devices. In this regard, the producer component includes producers having respective services executing processes corresponding to an execution of the test case. The messages instruct the respective services to associate the respective context identifiers with events representing result data of the processes, and the respective context identifiers facilitate respective accesses of the events representing the result data of the processes.

TECHNICAL FIELD

The subject disclosure generally relates to embodiments for generatingand aggregating test result data of a distributed system of devices intoa test case result for facilitating access of the test case result via asingle iterator.

BACKGROUND

Conventional testing technologies face challenges when managing testresults of distributed systems, e.g., such systems having a network ofcomputing devices that process, communicate, coordinate, etc. respectiveactions with other computing devices to achieve a common goal, e.g.,storage, computation, etc. In this regard, obtaining portion(s) of testresult data that are relevant to a specific failure of a distributedsystem of devices is arduous and/or unattainable since test results oftests running in parallel across multiple machines of the distributedsystem are reported in separate test logs spread across the multiplemachines, and not all logs are relevant for all failures. Consequently,conventional testing technologies have had some drawbacks, some of whichmay be noted with reference to the various embodiments described hereinbelow.

BRIEF DESCRIPTION OF THE DRAWINGS

Non-limiting embodiments of the subject disclosure are described withreference to the following figures, wherein like reference numeralsrefer to like parts throughout the various views unless otherwisespecified:

FIG. 1 illustrates a block diagram of a distributed system comprising acoordinator component, producer component, event handler component, andresult iterator component for generating and aggregating test resultdata of such system into a test case result for facilitating access ofthe test case result via a single iterator, in accordance with variousexample embodiments;

FIG. 2 illustrates a block diagram of a data flow for generating andaggregating test result data of a distributed system into a test caseresult for facilitating access of the test case result via a singleiterator, in accordance with various example embodiments;

FIG. 3 illustrates a block diagram of a data stream comprising aserialized and persistently-stored collection of events related to agiven test run, in accordance with various example embodiments;

FIG. 4 illustrates a storage component of a distributed storage systemfor facilitating access of the test case result via a single iterator,in accordance with various example embodiments;

FIG. 5 illustrates a block diagram of a group of tests of a test caserunning in parallel across a multi-node system, in accordance withvarious example embodiments;

FIG. 6 illustrate a block diagram of a logical flow of test casecontexts, in accordance with various example embodiments;

FIG. 7 illustrated a flow chart of a method associated with generationand aggregation of test result data of a distributed system of devicesinto a test case result for facilitating access of the test case resultvia a single iterator, in accordance with various example embodiments;

FIGS. 8-9 illustrate flow charts of another method associated withgeneration and aggregation of test result data of a distributed systemof devices into a test case result for facilitating access of the testcase result via a single iterator, in accordance with various exampleembodiments;

FIG. 10 illustrates a block diagram of an elastic cloud storage (ECS)system, in accordance with various example embodiments; and

FIG. 11 illustrates a block diagram representing an illustrativenon-limiting computing system or operating environment in which one ormore aspects of various embodiments described herein can be implemented.

DETAILED DESCRIPTION

Aspects of the subject disclosure will now be described more fullyhereinafter with reference to the accompanying drawings in which exampleembodiments are shown. In the following description, for purposes ofexplanation, numerous specific details are set forth in order to providea thorough understanding of the various embodiments. However, thesubject disclosure may be embodied in many different forms and shouldnot be construed as limited to the example embodiments set forth herein.

As described above, conventional testing technologies have faced anumber of challenges with respect to managing, investigating, etc. testresults of a distributed system. For example, output data of a test caseof the distributed system is spread across system logs of each device ofthe system, and test data that is relevant to the test case may not berepresented by every system log; therefore, it is often necessary tomanually consult many, if not all, of the system logs to investigate atest result—resulting in excessive time and effort to sort through andcompile test results of the test case.

On the other hand, various embodiments disclosed herein can facilitatesingular access of different phases of a test case of a system byassigning a unique context identification (ID) to each of the differentphases of the test case, and associating the unique context ID withevents representing result data of a phase of the test case—the eventsaggregated across multiple machines of the system—to facilitate thesingular access, iterative access, etc. of the events using the uniquecontext ID.

For example, a system, e.g., a distributed system of devices, comprisesa processor; and a memory that stores executable components that, whenexecuted by the processor, facilitate performance of operations by thesystem. In this regard, the executable components comprise a coordinatorcomponent, coordinator, etc. and a producer component.

The coordinator component creates respective context identifiers foreach unique phase, e.g., set up phase, tear down phase, etc., of a testcase of the system. Further, the coordinator component sends messagescomprising the respective context identifiers to the producer component,which comprises respective producers that have been installed on thedevices and execute respective services comprising processescorresponding to an execution of the test case. In this regard, themessages instruct the respective services to associate the respectivecontext identifiers with events representing result data of theprocesses—the respective context identifiers facilitating respectiveaccesses of the events representing the result data of the processes.

In an embodiment, the coordinator component, coordinator, etc. nestscontext identifiers to obtain nested context identifiers representingrespective subtests of the unique phase of the test case to facilitaterespective accesses of respective groups of events of the eventscomprising respective portions of the result data for the respectivesubtests of the unique phase of the test case.

In another embodiment, the producer component, producers, etc. assigndefined event types to the events, in which a defined event type of thedefined event types comprises a metadata record comprising a context IDof the respective context identifiers corresponding to a portion of theresult data, a timestamp representing when a unit of the portion of theresult data has been produced via a process of the processes, andinformation representing the unit of the portion of the result data.

In an embodiment, the information representing the unit comprises textrepresenting whether the test case has passed or failed. In another,embodiment, the unit comprises unstructured data, e.g., a core dump,that has been generated via a failure corresponding to at least one ofthe system, the service, or the process. In yet another embodiment, theinformation representing the unit comprises a uniform resource indicator(URI) referencing the unstructured data.

In one embodiment, an event handler component, event hander, etc. of thesystem generates, based on the unit of the portion of the result data, amodified unit of result data, e.g., a javascript object notation (JSON)encoded array of dictionaries or extensible markup language (XML). Inanother embodiment, the event handler can display, using hypertextmarkup language (HTML) via a display device of the system, the modifiedresult data.

In another embodiment, a result iterator component, result iterator,etc. of the system aggregates, serializes, etc., in chronological order,a group of events of the events comprising the context ID into anaggregated, serialized, etc. event stream representing portions of theresult data corresponding to the unique phase of the test case.

In yet another embodiment, a method comprises: assigning, by a systemcomprising a processor, respective contextual information comprisingrespective global test identifications to distinct test phases of a testrun; initiating, by the system, an execution of the distinct test phasesacross a group of devices of the system; and in response to initiatingthe execution of the distinct test phases across the group of devices,generating, by the system based on the respective contextual informationvia the group of devices, a group of events representing test results ofthe test run to facilitate, using the respective global testidentifications, respective accesses of the group of events representingthe test results of the test run.

In an embodiment, initiating the execution of the distinct test phasescomprises: based on respective messages, application programminginterface calls, etc. that comprise the respective contextualinformation and that initiate execution of the distinct test phases,performing, by the system based on the respective contextualinformation, the execution of the distinct test phases across the groupof devices.

In one embodiment, generating the events comprises: based on therespective context information, assigning respective event types to theevents. In this regard, an event type of the respective event types thathas been assigned to an event of the events corresponding to a test caseof the distinct test phases comprises a global test identification ofthe respective global test identifications, a timestamp representingwhen a unit of the test results corresponding to the test case has beenproduced, and information representing the unit of the test results.

In another embodiment, the method further comprises: generating, by thesystem based on the unit, a modified unit of test results.

In yet another embodiment, the method further comprises: displaying, bythe system via a display device, a core dump corresponding to testresults, a system log corresponding to the test results, and/or textcorresponding to the test results.

In an embodiment, the method further comprises: selecting, by thesystem, events of the group of events comprising a global testidentification of the global test identifications corresponding to atest case of the distinct test phases of the test run; sorting, by thesystem, the events in chronological order to obtain an ordered stream ofevents of the test case; and storing, by the system, the stream ofevents in a storage device of the system to facilitate, based on theglobal test identification, a display of the ordered stream of events ofthe test case.

In one embodiment, a non-transitory machine-readable medium comprisesinstructions that, in response to execution, cause a system comprising aprocessor to perform operations, comprising: assigning respectivecontext identifiers to respective phases of a test case of the system,and sending messages comprising the respective context identifiers torespective services corresponding to processes for execution of the testcase. In this regard, the messages direct the respective services toassociate the respective context identifiers with events representingresult data of the processes, and the respective context identifiersfacilitate respective accesses of the events representing the resultdata of the processes.

In another embodiment, the operations further comprise: storing theevents in a storage device of the system to facilitate, using therespective context identifiers, the respective accesses of the events.

In yet another embodiment, the operations further comprise: in responseto selecting, from the events, a group of events comprising a contextidentifier of the respective context identifiers that has been assignedto a phase of the respective phases of the test case, generating anevent stream comprising the group of events to facilitate a display ofthe event stream via a display device of the system.

Referring to FIG. 1, a block diagram of a distributed system (110)comprising a coordinator component (120), a producer component (130), anevent handler component (140), a result iterator component (150), and astorage component (160) for generating and aggregating test result dataof such system into a test case result for facilitating access of thetest case result via a single iterator is illustrated, in accordancewith various example embodiments. In this regard, the distributed systemcan comprise a distributed file system, an ECS system, a paralleldistributed networked file system, a OneFS™ file system provided by DellEMC® Isilon Systems (e.g., utilizing a FreeBSD based operating system),etc. In various embodiment(s), the distributed file system can comprisea host server, a client server, etc. (not shown). In otherembodiment(s), various components of the distributed file system can beincluded in a host application, a client application, storage/dataservices, etc.

As illustrated by FIG. 10, an ECS system (1000) can comprise acloud-based object storage appliance (e.g., comprising storage controlsoftware, components; ECS data clients/management clients (1005);storage services (1030, 1032) and storage devices (1040, 1042) (e.g.,comprising storage media, physical magnetic disk media, solid-statedrive (SSD) media, e.g., flash storage, etc.) of a storage cluster(1010). In this regard, the cloud-based object storage appliance is atype of clustered file system that spreads data across multiple storagenodes (1020, 1022), e.g., usually for redundancy or performance.Further, such clustered file system can simultaneously be mounted onmultiple file servers (not shown), e.g., OneFS™ clusters, and canprovide features like location-independent addressing and redundancywhich can improve reliability and/or reduce the complexity of portion(s)of the storage cluster, e.g., data storage cluster, data cluster, etc.

Storage services (1030, 1032) and storage devices (1040, 1042) can beincluded in respective data storage nodes (1020, 1022) of storageclusters, e.g., combined as an integrated system—with no access to thestorage devices other than through the ECS system. In this regard, therespective nodes, storage nodes, data storage nodes, etc. can becommunicatively and/or operatively coupled to each other, with thestorage service(s) comprising respective processes, processing jobs, jobworker processes, applications, etc. that can be utilized to serviceuser requests according to user-based storage policies.

In general, the respective data storage nodes can communicate with userdevices via wired and/or wireless communication network(s) to provideaccess to services that are based in the cloud and not stored locally(e.g., on a user device). A typical cloud-computing environment caninclude multiple layers, aggregated together, which interact with eachother to provide resources for end-users.

The ECS system can support storage, manipulation, and/or analysis ofunstructured data on a massive scale on commodity hardware. As anexample, the ECS system can support mobile, cloud, big data, and/orsocial networking applications. In another example, the ECS system canbe deployed as a turnkey storage appliance, or as a software productthat can be installed on a set of qualified commodity servers and disks,e.g., within a node, data storage node, ECS node, etc. of a cluster,data storage cluster, ECS cluster, etc. In this regard, the ECS systemcan comprise a cloud platform that comprises at least the followingfeatures: (i) lower cost than public clouds; (ii) unmatched combinationof storage efficiency and data access; (iii) anywhere read/write accesswith strong consistency that simplifies application development; (iv) nosingle point of failure to increase availability and performance; (v)universal accessibility that eliminates storage silos and inefficientextract, transform, load (ETL)/data movement processes; etc.

In embodiment(s), the ECS system can write all object-related data,e.g., user data, metadata, object location data, etc. to logicalcontainers, e.g., buckets, etc. of contiguous disk space, e.g., suchcontainers comprising a group of blocks of fixed size (e.g., 128 MB)known as chunks. Data is stored in the chunks and the chunks can beshared, e.g., one chunk can comprise data fragments of different userobjects. Chunk content is modified in append-only mode, e.g., suchcontent being protected from being erased or overwritten for a specifiedretention period. When a chunk becomes full enough, it is sealed and/orclosed—becoming immutable, e.g., read-only and delete only.

Further, a storage node (1020, 1022) of the storage cluster can comprisea system (110), a server, a file system, an image of the OS, dataservice(s), computer processing unit(s) (CPU(s)), storage devices (e.g.,non-volatile memory devices, disk drives, solid-state drives, etc.),memory devices (e.g., volatile memory devices, random access memory),etc.

Now referring to FIGS. 3-6, the following description describes variousfeatures and embodiments of distributed system 110:

There are many ‘topologies’ of components described herein that arepossible. That is—the number and types of each component, how theycommunicate, whether they are running in the same process and/or by thesame thread of execution, etc. Components of the solution are asfollows:

Coordinator

In embodiment(s), the coordinator, coordinator component (120), etc.comprises a piece of code running in a test process that is in charge ofcoordinating the mechanics of the rest of this solution. It alsoimplements the API for the solution. Typically, it is a piece of codethat will be called into by a test framework, runner service, etc. Forexample, we may use Python's pytest plugin interface to call into it,e.g. calling a certain method to mark the start of a run of a test case.It could, however, be running in a separate daemon that a test, phase ofa test, test case, etc. communicates with through some interprocesscommunication (IPC) mechanism.

The coordinator uses calls into its API to communicate to the otherparts (e.g., see producer component, producers, etc. described below) ofthe system with respect to how they should produce and store the resultsdata. It establishes a globally unique ID for each phase of a test run,e.g., the phases being individual runs of individual test cases, e.g.,comprising set up and tear down steps, etc. Such globally unique IDs arereferred to as “contexts”, contextual information, context IDs, etc.herein. The coordinator communicates this contextual information so thatthe rest of the system can properly “contextualize” the data itproduces. That contextualization is how we associate data with a giventest later.

FIG. 6. illustrates a context flow as a context tree that, inembodiment(s), can be represented by some means, e.g., display device,via the coordinator. The coordinator is responsible for communicatingthis contextual information to the parts of the system that areproducing test results data. What specifically is communicated theredepends on the logic of the test. As illustrated by FIG. 6, inembodiment(s), the coordinator nests context identifiers (IDs) to obtainnested context IDs representing respective subtests of the phase, e.g.,setup, tear down, etc. of a test case.

Producers

Producers (214, 222, 224, 232, 234), e.g., of the producer component(130), collect and produce a record of test results data. They can runin the same process as the coordinator or as separate process(es), e.g.,on separate machines (210, 220, 230, 240), devices, etc. of thedistributed system (110). The individual quanta of results data will bereferred to as “events” here (see, e.g., 310, 320, 330, 340, 350). Eachevent is marked with the ID of the context to which it belongs, and eachevent belongs to exactly one context.

The context that a producer marks on an event depends on the logic ofthe test. Often, this will simply be “the current context”, or thecontext of the running test. A producer communicates the events itproduces to an event handler, event handler component (140), etc., or toa buffer of events, event buffer (242), etc.

Event Handlers

Event handlers (244, 246), e.g., of the event handler component (140)receive events and format them for storage, or some sort of presentationof the results data, such as:

-   -   producing an HTML view of a run of tests,    -   stashing textual data (e.g., stdout, syslogs) in Elasticsearch        for later analysis, and/or    -   producing some sort of standard test output format like JUnit        XML.

Events can be received directly from producers, or from a flush of somebuffer of events (242) that were previously enqueued in the buffer by aproducer. There can be multiple producers sending events to a givenhandler, event handler (246), etc. There can be multiple handlersassociated with a given test run. As before, in general, a producer,coordinator, and/or handler can all run inside the same process,possibly even the same thread.

Event Buffer(s) and Multiplexers

Events can be buffered for some time so that they can be sent to eventhandler(s), e.g., as some sort of group of events. Buffering andflushing in groups is just used for the purpose of managing performance.For example, it is usually more efficient to write many events worth ofdata to disk in a single write than to write them individually.

Multiplexing can also be used here in the sense that we may flush agiven event or group of events to multiple event handlers. This istypically done in order to persist data, or present multiple views ofthe data. For example, we may both produce an HTML page of results, aswell as stash some microdata in an Elasticsearch instance.

A Special Event Handler: the Event Stream

Event streams (300) are serialized and persistently-stored collectionsof events (310, 320, 330, 340, 350) related to a given test run. Theseare written by a type of event handler that is always present in,corresponding to, etc. a test run. The event handler(s) store the eventsthemselves so that result iterators (explained below) can recreate theexact data that the event handler(s) could have observed earlier. Thisallows for post-hoc consumption of the data, which is a common way ofcreating the results views that the event handler(s) generated. Suchpost-hoc processing avoids using the same system resources as the testitself, which is a common concern in practice.

The event stream and the storage technology work in conjunction toensure data consistency, e.g., through locking. In general, there is noordering of events enforced within a stream, though a given embodimentof this method may include some ordering constraints. As before,multiple producers can send events to a given event stream, possibly inparallel. There can also be multiple event streams for a given test run.

In embodiment(s), event streams are JSON-encoded arrays of dictionariesstored to a filesystem (e.g., JSON on disk (250)) outside an Isiloncluster being tested. In order to avoid losing generality, event streamsare not bound, however, to a specific serialization format or storagetechnology. In embodiment(s), events can be stored as XML; as somebinary format; in a document store such as Elasticsearch, e.g., via anElasticsearch host (550); an Elasticsearch, Logstash, and Kibana (ELK)stack (260), etc.

In practice, the storage format is usually append-able. That is, theformat allows for appending of additional events without having to readany of the events previously appended to the stream—facilitatingappending of events via large-scale, e.g., parallel, test runs,processes, etc. This makes it more practical for many processes tocontribute to the event stream without the overhead of reading all thestream's prior contents. Further, having to read all the prior contentsmay be prohibitive overhead in practice when running thousands of tests,particularly if each test is run in an isolated process.

Result Iterator

A result iterator, e.g., of the result iterator component (150),comprises data stream ingestion code, process(es), etc. used to presenta view of all data for a given test result and from across all eventstreams to which it was written. A “test result” can refer to a singlerun of a single test case, all results for a given suite of test cases,all suites in a given test run, etc. The events that describe a testresult can be spread across many streams. Further, the URIs for thesestreams are provided to the result iterator.

In embodiment(s), there are two types of iterators:

-   -   iterator(s) that simply provide one event on each iteration,        such event drawn, obtained, etc. from all event streams        corresponding to the given test run; these can be used for        post-hoc processing of the raw events, as alluded to above; and    -   iterator(s) that provide some summarized unit of test results        data, such as providing a single test case's data on an        iteration.

In the latter case, each iteration of the result iterator presents acollection of data that holds all the individual portions of data for asingle test result. For example, on a given iteration, the resultiterator can provide all results data for a single run of a single testcase, e.g., timestamps, pass/fail disposition, stdout, core dumps, etc.The iterator, e.g., context ID, is used to iterate over all of theindividual portions of the data, collection of data, etc. for the singletest case result. In embodiment(s), the collection of data comprises aset of key/value pairs assembled using event type information.

A Set of Event “Types”

The “type” of an event represents type information that describes whatdata the event will provide, and how the data should be interpretedlater by an event handler, by a user of the results iterator, e.g., viaa display device corresponding to the result iterator, etc. Every eventtype includes a context ID. In embodiment(s), an event can represent aprocess core dump, in which case the event can include fieldscomprising: a URI referring to the core dump; a timestamp that the coredump was generated; some data representing a process that has generatedthe core dump and where the process was running, executing, etc.; andthe context ID of the test case run that likely precipitated, caused,etc. the core dump. In this regard, the type of the event enumeratesthose fields and how they can be interpreted later.

In embodiment(s), a process, e.g., of the result iterator component,that ingests, receives, etc. the events can utilize the event typeinformation when determining how best to display corresponding resultdata, e.g., for an HTML view corresponding to a process core dump event,a link can be provided, along with metadata about the process. Inembodiment(s), when generating JUnit XML data, an event can be ignoredsince an event type of the event indicates data that isn't easilyshoe-horned into Junit XML format.

In embodiment(s), an external storage device (e.g., of storage component160), can be used to persist test artifacts of respective events. Inthis regard, the test artifacts comprise units of data that can helpwith investigating a test result, such as:

-   -   filtered and sliced system logs,    -   process core dumps, and/or    -   recorded sysctl values or other system config information.

A producer, producer component, etc. is responsible for persisting theartifact in conjunction with the external storage device, e.g.,recording an appropriate URI for the test artifact in an event.

Referring now to FIG. 5, a block diagram of a group of tests of a testcase running in parallel across a distributed system (e.g., 110)comprising three nodes (510, 520, 530) is illustrated, in accordancewith various example embodiments. As illustrated by FIG. 5, each testthat is running, executing, etc. in parallel (e.g., “run_a_test”)corresponds to different daemons that have instances running on eachnode. On node 1 (510) we have a single process (test coordinatorprocess) in charge of starting the tests running, with respective testcoordinator processes running, initiating execution of, etc. test 1 onnode 1 and test 2 on node 2. Further, a machine (540) is responsible forlogging test events, with all the test-related processes, e.g.,“report_test_result”, “report_a_core”, sending data, based on an IPaddress and port number of the machine and via an event buffer, to themachine. Sample pseudocode 1 below represents at least a portion of theabove steps:

Sample Pseuodocode 1. # This is pseudocode for test 1, which is runningin the test executor # on node 1 def test1(self, context_id): for nodein [‘node1’, ‘node2’, ‘node3’]:core_monitor.monitor_process(‘somedaemonD’, node, context_id) <theactual test> the_process_cored = False for node in [‘node1’, ‘node2’,‘node3’]: the_process_cored = the_process_cored orcore_monitor.finish_monitoring( ‘somedaemonD’, node) ifthe_process_cored: test_framework.test_failed(context_id) else:test_framework.test_passed(context_id)

For example, assume one of the checks that the test does is for coredumps of the daemon it is testing. If the daemon crashes, such crash isconsidered a test failure. Further, assume that we have some sort ofservice used by tests to monitor for core dump(s), and to report back ifa core dump has occurred. If a core dump did occur, the service willcopy the core dump off the to an external storage device and generate anevent containing a URI referencing the core dump. Sample pseudocode 2below represents at least a portion of the above steps:

Sample Pseudocode 2. # Indicate to the coordinator that we are going torun a test. context_id1 = coordinator.start_test( ) # Now we actuallytrigger the test running on a node. # # We have some sort of e.g. RPCmechanism to trigger a test of a given name # running on one of ournodes. That remote runner will be responsible # for finding the test ofthat name, and reporting all the results of the # test. We pass thecontext_id to which it should report. # # That framework will produce aStartTestCaseEvent in that context to # indicate what test is runningand where test_framework.run_a_test_on(‘node1’,’test1’, context_id1) #Now suppose we have another test running on another node, in parallel #to the first context_id2 = coordinator.start_test( )test_framework.run_a_test_on(‘node2’, ‘test2’, context_id2)

The test framework is instrumented, setup, etc. to generate events fortest pass or fail, and an event corresponding to the end of the testcase run. Sample pseudocode 3 below represents a producer function,process, etc. that is used to record a test failure:

Sample Pseudocode 3. # This is the function in the test framework thatis called to record that the # test failed. It is in-fact Producer code.# # Let's say that we send Events to some ‘self.report_event’ methodthat takes # care of making sure the Event is sent to the test eventmachine def test_failed(self, context_id):self.report_test_result(passed=False, context_id) defreport_test_result(self, passed, context_id) # We mark timestamps to thecurrent time, but another possible use case # is that we ingest resultsfrom some tool that # already ran the tests. Since we are then producingthese events post-hoc, # we would mark the time to the time that thetest actually finished. result_event =TestCaseResultEvent(context_id=context_id, passed=passed, time=now)self.report_event(result_event) test_finished_event =EndTestCase(context_id=context_id, time=now)self.report_event(test_finished_event)

FIGS. 7-9 illustrate methodologies associated with generation andaggregation of test result data of a distributed system (110) of devicesinto a test case result for facilitating access of the test case resultvia a single iterator, in accordance with various example embodiments.For simplicity of explanation, the methodologies are depicted anddescribed as a series of acts. It is to be understood and appreciatedthat various embodiments disclosed herein are not limited by the actsillustrated and/or by the order of acts. For example, acts can occur invarious orders and/or concurrently, and with other acts not presented ordescribed herein. Furthermore, not all illustrated acts may be requiredto implement the methodologies in accordance with the disclosed subjectmatter. In addition, those skilled in the art will understand andappreciate that the methodologies could alternatively be represented asa series of interrelated states via a state diagram or events.Additionally, it should be further appreciated that the methodologiesdisclosed hereinafter and throughout this specification are capable ofbeing stored on an article of manufacture to facilitate transporting andtransferring such methodologies to computers. The term article ofmanufacture, as used herein, is intended to encompass a computer programaccessible from any computer-readable device, carrier, or media.

Referring now to FIG. 7, a flow chart (700) of a method associated withgeneration and aggregation of test result data of a distributed systemof devices into a test case result for facilitating access of the testcase result via a single iterator is illustrated, in accordance withvarious example embodiments. At 710, a system (110) comprising aprocessor creates respective context identifiers for each unique phaseof a test case of the system.

At 720, the system sends messages comprising the respective contextidentifiers to respective services comprising processes corresponding toan execution of the test case. In this regard, the messages instruct therespective services to associate the respective context identifiers withevents representing result data of the processes, and the respectivecontext identifiers facilitate respective accesses of the eventsrepresenting the result data of the processes.

FIGS. 8-9 illustrate flow charts (800 and 900) of a method associatedwith generation and aggregation of test result data of a distributedsystem of devices into a test case result for facilitating access of thetest case result via a single iterator is illustrated, in accordancewith various example embodiments. At 810, a system (110) comprising aprocessor assigns respective contextual information comprisingrespective global test identifications to distinct test phases of a testrun.

At 820, the system initiates an execution of the distinct test phasesacross a group of devices of the system.

At 830, in response to the execution of the distinct test phases acrossthe group of devices being initiated, the system generates, based on therespective contextual information via the group of devices, a group ofevents representing test results of the test run to facilitate, usingthe respective global test identifications, respective accesses of thegroup of events representing the test results of the test run.

At 840, the system selects events of the group of events comprising aglobal test identification of the global test identificationscorresponding to a test case of the distinct test phases of the testrun.

At 910, the system sorts the events in chronological order to obtain anordered stream of events of the test case. At 920, the system stores thestream of events in a storage device of the system to facilitate, basedon the global test identification, a display of the ordered stream ofevents of the test case.

Reference throughout this specification to “one embodiment,” or “anembodiment,” means that a particular feature, structure, orcharacteristic described in connection with the embodiment is includedin at least one embodiment. Thus, the appearances of the phrase “in oneembodiment,” or “in an embodiment,” in various places throughout thisspecification are not necessarily all referring to the same embodiment.Furthermore, the particular features, structures, or characteristics maybe combined in any suitable manner in one or more embodiments.

Furthermore, to the extent that the terms “includes,” “has,” “contains,”and other similar words are used in either the detailed description orthe appended claims, such terms are intended to be inclusive—in a mannersimilar to the term “comprising” as an open transition word—withoutprecluding any additional or other elements. Moreover, the term “or” isintended to mean an inclusive “or” rather than an exclusive “or”. Thatis, unless specified otherwise, or clear from context, “X employs A orB” is intended to mean any of the natural inclusive permutations. Thatis, if X employs A; X employs B; or X employs both A and B, then “Xemploys A or B” is satisfied under any of the foregoing instances. Inaddition, the articles “a” and “an” as used in this application and theappended claims should generally be construed to mean “one or more”unless specified otherwise or clear from context to be directed to asingular form.

As utilized herein, the terms “logic”, “logical”, “logically”, and thelike are intended to refer to any information having the form ofinstruction signals and/or data that may be applied to direct theoperation of a processor. Logic may be formed from signals stored in adevice memory. Software is one example of such logic. Logic may also becomprised by digital and/or analog hardware circuits, for example,hardware circuits comprising logical AND, OR, XOR, NAND, NOR, and otherlogical operations. Logic may be formed from combinations of softwareand hardware. On a network, logic may be programmed on a server, or acomplex of servers. A particular logic unit is not limited to a singlelogical location on the network.

As utilized herein, terms “component”, “system”, and the like areintended to refer to a computer-related entity, hardware, software(e.g., in execution), and/or firmware. For example, a component can be aprocessor, a process running on a processor, an object, an executable, aprogram, a storage device, and/or a computer. By way of illustration, anapplication running on a server, client, etc. and the server, client,etc. can be a component. One or more components can reside within aprocess, and a component can be localized on one computer and/ordistributed between two or more computers.

Further, components can execute from various computer readable mediahaving various data structures stored thereon. The components cancommunicate via local and/or remote processes such as in accordance witha signal having one or more data packets (e.g., data from one componentinteracting with another component in a local system, distributedsystem, and/or across a network, e.g., the Internet, with other systemsvia the signal).

As another example, a component can be an apparatus with specificfunctionality provided by mechanical parts operated by electric orelectronic circuitry; the electric or electronic circuitry can beoperated by a software application or a firmware application executed byone or more processors; the one or more processors can be internal orexternal to the apparatus and can execute at least a part of thesoftware or firmware application. In yet another example, a componentcan be an apparatus that provides specific functionality throughelectronic components without mechanical parts; the electroniccomponents can comprise one or more processors therein to executesoftware and/or firmware that confer(s), at least in part, thefunctionality of the electronic components.

Aspects of systems, apparatus, and processes explained herein canconstitute machine-executable instructions embodied within a machine,e.g., embodied in a computer readable medium (or media) associated withthe machine. Such instructions, when executed by the machine, can causethe machine to perform the operations described. Additionally, thesystems, processes, process blocks, etc. can be embodied withinhardware, such as an application specific integrated circuit (ASIC) orthe like. Moreover, the order in which some or all of the process blocksappear in each process should not be deemed limiting. Rather, it shouldbe understood by a person of ordinary skill in the art having thebenefit of the instant disclosure that some of the process blocks can beexecuted in a variety of orders not illustrated.

Furthermore, the word “exemplary” and/or “demonstrative” is used hereinto mean serving as an example, instance, or illustration. For theavoidance of doubt, the subject matter disclosed herein is not limitedby such examples. In addition, any aspect or design described herein as“exemplary” and/or “demonstrative” is not necessarily to be construed aspreferred or advantageous over other aspects or designs, nor is it meantto preclude equivalent exemplary structures and techniques known tothose of ordinary skill in the art having the benefit of the instantdisclosure.

The disclosed subject matter can be implemented as a method, apparatus,or article of manufacture using standard programming and/or engineeringtechniques to produce software, firmware, hardware, or any combinationthereof to control a computer to implement the disclosed subject matter.The term “article of manufacture” as used herein is intended toencompass a computer program accessible from any computer-readabledevice, computer-readable carrier, or computer-readable media. Forexample, computer-readable media can comprise, but are not limited to:random access memory (RAM); read only memory (ROM); electricallyerasable programmable read only memory (EEPROM); flash memory or othermemory technology (e.g., card, stick, key drive, thumb drive, smartcard); solid state drive (SSD) or other solid-state storage technology;optical disk storage (e.g., compact disk (CD) read only memory (CD ROM),digital video/versatile disk (DVD), Blu-ray disc); cloud-based (e.g.,Internet based) storage; magnetic storage (e.g., magnetic cassettes,magnetic tape, magnetic disk storage or other magnetic storage devices);a virtual device that emulates a storage device and/or any of the abovecomputer-readable media; or other tangible and/or non-transitory mediawhich can be used to store desired information. In this regard, theterms “tangible” or “non-transitory” herein as applied to storage,memory, or computer-readable media, are to be understood to exclude onlypropagating transitory signals per se as modifiers and do not relinquishrights to all standard storage, memory or computer-readable media thatare not only propagating transitory signals per se.

As it is employed in the subject specification, the term “processor” canrefer to substantially any computing processing unit or devicecomprising, but not limited to comprising, single-core processors;single-processors with software multithread execution capability;multi-core processors; multi-core processors with software multithreadexecution capability; multi-core processors with hardware multithreadtechnology; parallel platforms; and parallel platforms with distributedshared memory. Additionally, a processor can refer to an integratedcircuit, an application specific integrated circuit (ASIC), a digitalsignal processor (DSP), a field programmable gate array (FPGA), aprogrammable logic controller (PLC), a complex programmable logic device(CPLD), a discrete gate or transistor logic, discrete hardwarecomponents, or any combination thereof designed to perform the functionsand/or processes described herein. Processors can exploit nano-scalearchitectures such as, but not limited to, molecular and quantum-dotbased transistors, switches and gates, in order to optimize space usageor enhance performance of mobile devices. A processor may also beimplemented as a combination of computing processing units.

In the subject specification, terms such as “data store”, “datastorage”, “storage device”, “storage medium”, “data storage node”,“storage component” and substantially any other information storagecomponent relevant to operation and functionality of a system,component, and/or process, can refer to “memory components,” or entitiesembodied in a “memory,” or components comprising the memory. It will beappreciated that the memory components described herein can be eithervolatile memory or nonvolatile memory, or can comprise both volatile andnonvolatile memory.

By way of illustration, and not limitation, nonvolatile memory, forexample, can be included in a node, a storage node, a data storage node,etc. (e.g., 412, 414, 416, 418, 510, 520, 530, 1020, 1022), storagedevices (e.g., 250, 260, 1040, 1042), non-volatile memory 1122 (seebelow), disk storage 1124 (see below), and/or memory storage 1146 (seebelow). Further, nonvolatile memory can be included in read only memory(ROM), programmable ROM (PROM), electrically programmable ROM (EPROM),electrically erasable ROM (EEPROM), or flash memory. Volatile memory(e.g., 1120) can comprise random access memory (RAM), which acts asexternal cache memory. By way of illustration and not limitation, RAM isavailable in many forms such as synchronous RAM (SRAM), dynamic RAM(DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDR SDRAM),enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM), and direct Rambus RAM(DRRAM). Additionally, the disclosed memory components of systems ormethods herein are intended to comprise, without being limited tocomprising, these and any other suitable types of memory.

In order to provide a context for the various aspects of the disclosedsubject matter, FIG. 11, and the following discussion, are intended toprovide a brief, general description of a suitable environment in whichthe various aspects of the disclosed subject matter can be implemented.While the subject matter has been described above in the general contextof computer-executable instructions of a computer program that runs on acomputer and/or computers, those skilled in the art will recognize thatvarious embodiments disclosed herein can be implemented in combinationwith other program modules. Generally, program modules compriseroutines, programs, components, data structures, etc. that performparticular tasks and/or implement particular abstract data types.

Moreover, those skilled in the art will appreciate that the inventivesystems can be practiced with other computer system configurations,comprising single-processor or multiprocessor computer systems,computing devices, mini-computing devices, mainframe computers, as wellas personal computers, hand-held computing devices (e.g., PDA, phone,watch), microprocessor-based or programmable consumer or industrialelectronics, and the like. The illustrated aspects can also be practicedin distributed computing environments where tasks are performed byremote processing devices that are linked through a communicationnetwork; however, some if not all aspects of the subject disclosure canbe practiced on stand-alone computers. In a distributed computingenvironment, program modules can be located in both local and remotememory storage devices.

With reference to FIG. 11, a block diagram of a computing system 1100,e.g., 100, operable to execute the disclosed systems and methods isillustrated, in accordance with an embodiment. Computer 1112 comprises aprocessing unit 1114, a system memory 1116, and a system bus 1118.System bus 1118 couples system components comprising, but not limitedto, system memory 1116 to processing unit 1114. Processing unit 1114 canbe any of various available processors. Dual microprocessors and othermultiprocessor architectures also can be employed as processing unit1114.

System bus 1118 can be any of several types of bus structure(s)comprising a memory bus or a memory controller, a peripheral bus or anexternal bus, and/or a local bus using any variety of available busarchitectures comprising, but not limited to, industrial standardarchitecture (ISA), micro-channel architecture (MSA), extended ISA(EISA), intelligent drive electronics (IDE), VESA local bus (VLB),peripheral component interconnect (PCI), card bus, universal serial bus(USB), advanced graphics port (AGP), personal computer memory cardinternational association bus (PCMCIA), Firewire (IEEE 1394), smallcomputer systems interface (SCSI), and/or controller area network (CAN)bus used in vehicles.

System memory 1116 comprises volatile memory 1120 and nonvolatile memory1122. A basic input/output system (BIOS), containing routines totransfer information between elements within computer 1112, such asduring start-up, can be stored in nonvolatile memory 1122. By way ofillustration, and not limitation, nonvolatile memory 1122 can compriseROM, PROM, EPROM, EEPROM, or flash memory. Volatile memory 1120comprises RAM, which acts as external cache memory. By way ofillustration and not limitation, RAM is available in many forms such asSRAM, dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rateSDRAM (DDR SDRAM), enhanced SDRAM (ESDRAM), Synchlink DRAM (SLDRAM),Rambus direct RAM (RDRAM), direct Rambus dynamic RAM (DRDRAM), andRambus dynamic RAM (RDRAM).

Computer 1112 also comprises removable/non-removable,volatile/non-volatile computer storage media. FIG. 11 illustrates, forexample, disk storage 1124. Disk storage 1124 comprises, but is notlimited to, devices like a magnetic disk drive, floppy disk drive, tapedrive, Jaz drive, Zip drive, LS-100 drive, flash memory card, or memorystick. In addition, disk storage 1124 can comprise storage mediaseparately or in combination with other storage media comprising, butnot limited to, an optical disk drive such as a compact disk ROM device(CD-ROM), CD recordable drive (CD-R Drive), CD rewritable drive (CD-RWDrive) or a digital versatile disk ROM drive (DVD-ROM). To facilitateconnection of the disk storage devices 1124 to system bus 1118, aremovable or non-removable interface is typically used, such asinterface 1126.

It is to be appreciated that FIG. 11 describes software that acts as anintermediary between users and computer resources described in suitableoperating environment 1100. Such software comprises an operating system1128. Operating system 1128, which can be stored on disk storage 1124,acts to control and allocate resources of computer system 1112. Systemapplications 1130 take advantage of the management of resources byoperating system 1128 through program modules 1132 and program data 1134stored either in system memory 1116 or on disk storage 1124. It is to beappreciated that the disclosed subject matter can be implemented withvarious operating systems or combinations of operating systems.

A user can enter commands or information into computer 1112 throughinput device(s) 1136. Input devices 1136 comprise, but are not limitedto, a pointing device such as a mouse, trackball, stylus, touch pad,keyboard, microphone, joystick, game pad, satellite dish, scanner, TVtuner card, digital camera, digital video camera, web camera, cellularphone, user equipment, smartphone, and the like. These and other inputdevices connect to processing unit 1114 through system bus 1118 viainterface port(s) 1138. Interface port(s) 1138 comprise, for example, aserial port, a parallel port, a game port, a universal serial bus (USB),a wireless based port, e.g., Wi-Fi, Bluetooth, etc. Output device(s)1140 use some of the same type of ports as input device(s) 1136.

Thus, for example, a USB port can be used to provide input to computer1112 and to output information from computer 1112 to an output device1140. Output adapter 1142 is provided to illustrate that there are someoutput devices 1140, like display devices, light projection devices,monitors, speakers, and printers, among other output devices 1140, whichuse special adapters. Output adapters 1142 comprise, by way ofillustration and not limitation, video and sound devices, cards, etc.that provide means of connection between output device 1140 and systembus 1118. It should be noted that other devices and/or systems ofdevices provide both input and output capabilities such as remotecomputer(s) 1144.

Computer 1112 can operate in a networked environment using logicalconnections to one or more remote computers, such as remote computer(s)1144. Remote computer(s) 1144 can be a personal computer, a server, arouter, a network PC, a workstation, a microprocessor based appliance, apeer device, or other common network node and the like, and typicallycomprises many or all of the elements described relative to computer1112.

For purposes of brevity, only a memory storage device 1146 isillustrated with remote computer(s) 1144. Remote computer(s) 1144 islogically connected to computer 1112 through a network interface 1148and then physically and/or wirelessly connected via communicationconnection 1150. Network interface 1148 encompasses wire and/or wirelesscommunication networks such as local-area networks (LAN) and wide-areanetworks (WAN). LAN technologies comprise fiber distributed datainterface (FDDI), copper distributed data interface (CDDI), Ethernet,token ring and the like. WAN technologies comprise, but are not limitedto, point-to-point links, circuit switching networks like integratedservices digital networks (ISDN) and variations thereon, packetswitching networks, and digital subscriber lines (DSL).

Communication connection(s) 1150 refer(s) to hardware/software employedto connect network interface 1148 to bus 1118. While communicationconnection 1150 is shown for illustrative clarity inside computer 1112,it can also be external to computer 1112. The hardware/software forconnection to network interface 1148 can comprise, for example, internaland external technologies such as modems, comprising regular telephonegrade modems, cable modems and DSL modems, wireless modems, ISDNadapters, and Ethernet cards.

The computer 1112 can operate in a networked environment using logicalconnections via wired and/or wireless communications to one or moreremote computers, cellular based devices, user equipment, smartphones,or other computing devices, such as workstations, server computers,routers, personal computers, portable computers, microprocessor-basedentertainment appliances, peer devices or other common network nodes,etc. The computer 1112 can connect to other devices/networks by way ofantenna, port, network interface adaptor, wireless access point, modem,and/or the like.

The computer 1112 is operable to communicate with any wireless devicesor entities operatively disposed in wireless communication, e.g., aprinter, scanner, desktop and/or portable computer, portable dataassistant, communications satellite, user equipment, cellular basedevice, smartphone, any piece of equipment or location associated with awirelessly detectable tag (e.g., scanner, a kiosk, news stand,restroom), and telephone. This comprises at least Wi-Fi and Bluetoothwireless technologies. Thus, the communication can be a predefinedstructure as with a conventional network or simply an ad hoccommunication between at least two devices.

Wi-Fi allows connection to the Internet from a desired location (e.g., avehicle, couch at home, a bed in a hotel room, or a conference room atwork, etc.) without wires. Wi-Fi is a wireless technology similar tothat used in a cell phone that enables such devices, e.g., mobilephones, computers, etc., to send and receive data indoors and out,anywhere within the range of a base station. Wi-Fi networks use radiotechnologies called IEEE 802.11 (a, b, g, etc.) to provide secure,reliable, fast wireless connectivity. A Wi-Fi network can be used toconnect communication devices (e.g., mobile phones, computers, etc.) toeach other, to the Internet, and to wired networks (which use IEEE 802.3or Ethernet). Wi-Fi networks operate in the unlicensed 2.4 and 5 GHzradio bands, at an 11 Mbps (802.11a) or 54 Mbps (802.11b) data rate, forexample, or with products that contain both bands (dual band), so thenetworks can provide real-world performance similar to the basic 10BaseTwired Ethernet networks used in many offices.

The above description of illustrated embodiments of the subjectdisclosure, comprising what is described in the Abstract, is notintended to be exhaustive or to limit the disclosed embodiments to theprecise forms disclosed. While specific embodiments and examples aredescribed herein for illustrative purposes, various modifications arepossible that are considered within the scope of such embodiments andexamples, as those skilled in the relevant art can recognize.

In this regard, while the disclosed subject matter has been described inconnection with various embodiments and corresponding Figures, whereapplicable, it is to be understood that other similar embodiments can beused or modifications and additions can be made to the describedembodiments for performing the same, similar, alternative, or substitutefunction of the disclosed subject matter without deviating therefrom.Therefore, the disclosed subject matter should not be limited to anysingle embodiment described herein, but rather should be construed inbreadth and scope in accordance with the appended claims below.

What is claimed is:
 1. A system, comprising: a processor; and a memorythat stores executable components that, when executed by the processor,facilitate performance of operations by the system, the operationscomprising: creating respective context identifiers for each uniquephase of a test case of the system; and sending messages comprising therespective context identifiers to respective services comprisingprocesses corresponding to an execution of the test case, wherein themessages instruct the respective services to associate the respectivecontext identifiers with events representing result data of theprocesses, and wherein the respective context identifiers facilitaterespective accesses of the events representing the result data of theprocesses.
 2. The system of claim 1, wherein the unique phase of thetest case comprises at least one of a set up phase or a tear down phase.3. The system of claim 1, wherein the operations further comprise:nesting context identifiers to obtain nested context identifiersrepresenting respective subtests of the unique phase of the test case tofacilitate respective accesses of respective groups of events of theevents comprising respective portions of the result data for therespective subtests of the unique phase of the test case.
 4. The systemof claim 1, wherein the operations further comprise: assigning definedevent types to the events, wherein a defined event type of the definedevent types comprises a metadata record comprising a context identifier(ID) of the respective context identifiers corresponding to a portion ofthe result data, a timestamp representing when a unit of the portion ofthe result data has been produced via a process of the processes, andinformation representing the unit of the portion of the result data. 5.The system of claim 4, wherein the information representing the unitcomprises text representing whether the test case has passed or failed.6. The system of claim 4, wherein the unit comprises unstructured datathat has been generated via a failure corresponding to at least one ofthe system, the service, or the process.
 7. The system of claim 6,wherein the information representing the unit comprises a uniformresource indicator referencing the unstructured data.
 8. The system ofclaim 6, wherein the unstructured data comprises a core dump.
 9. Thesystem of claim 4, wherein the operations further comprise: based on theunit of the portion of the result data, generating a modified unit ofresult data.
 10. The system of claim 9, wherein the operations furthercomprise: displaying, using hypertext markup language via a displaydevice of the system, the modified result data.
 11. The system of claim9, wherein the modified result data comprises a javascript objectnotation encoded array of dictionaries or extensible markup language.12. The system of claim 4, wherein the operations further comprise:aggregating, in chronological order, a group of events of the eventscomprising the context ID into an aggregated event stream representingportions of the result data corresponding to the unique phase of thetest case.
 13. A method, comprising: assigning, by a system comprising aprocessor, respective contextual information comprising respectiveglobal test identifications to distinct test phases of a test run;initiating, by the system, an execution of the distinct test phasesacross a group of devices of the system; and in response to initiatingthe execution of the distinct test phases across the group of devices,generating, by the system based on the respective contextual informationvia the group of devices, a group of events representing test results ofthe test run to facilitate, using the respective global testidentifications, respective accesses of the group of events representingthe test results of the test run.
 14. The method of claim 13, whereininitiating the execution of the distinct test phases comprises: based onrespective application programming interface calls that comprise therespective contextual information and that initiate execution of thedistinct test phases, performing, by the system based on the respectivecontextual information, the execution of the distinct test phases acrossthe group of devices.
 15. The method of claim 13, wherein generating theevents comprises: based on the respective context information, assigningrespective event types to the events, wherein an event type of therespective event types that has been assigned to an event of the eventscorresponding to a test case of the distinct test phases comprises aglobal test identification of the respective global testidentifications, a timestamp representing when a unit of the testresults corresponding to the test case has been produced, andinformation representing the unit of the test results.
 16. The method ofclaim 15, further comprising: generating, by the system based on theunit, a modified unit of test results.
 17. The method of claim 13,further comprising: displaying, by the system via a display device, atleast one of: a core dump corresponding to test results, a system logcorresponding to the test results, or text corresponding to the testresults.
 18. The method of claim 13, further comprising: selecting, bythe system, events of the group of events comprising a global testidentification of the global test identifications corresponding to atest case of the distinct test phases of the test run; sorting, by thesystem, the events in chronological order to obtain an ordered stream ofevents of the test case; and storing, by the system, the stream ofevents in a storage device of the system to facilitate, based on theglobal test identification, a display of the ordered stream of events ofthe test case.
 19. A non-transitory machine-readable medium comprisinginstructions that, in response to execution, cause a system comprising aprocessor to perform operations, comprising: assigning respectivecontext identifiers to respective phases of a test case of the system;sending messages comprising the respective context identifiers torespective services corresponding to processes for execution of the testcase, wherein the messages direct the respective services to associatethe respective context identifiers with events representing result dataof the processes, and wherein the respective context identifiersfacilitate respective accesses of the events representing the resultdata of the processes; and storing the events in a storage device of thesystem to facilitate, using the respective context identifiers, therespective accesses of the events.
 20. The non-transitorymachine-readable medium of claim 19, wherein the operations furthercomprise: in response to selecting, from the events, a group of eventscomprising a context identifier of the respective context identifiersthat has been assigned to a phase of the respective phases of the testcase, generating an event stream comprising the group of events tofacilitate a display of the event stream via a display device of thesystem.